Senior Software Engineer

About the Company

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

Responsibilities

• Own performance analysis across the full ML stack, from model execution down to hardware utilization
• Identify bottlenecks and regression trends using profiling, benchmarking, and deep system analysis
• Drive cross-team optimizations involving frameworks, compilers, runtime, and infrastructure
• Design and maintain benchmarking environments for synthetic, focused benchmarks up to large-scale ML workloads
• Produce performance reports that translate low-level findings into actionable insights
• Ensure local optimizations improve global system performance, not just isolated components
• Partner with engineering teams to guide performance improvements and validate impact

Requirements

• Strong programming skills in Python, C, or C++
• Solid understanding of computer architecture and performance profiling
• Knowledge of low-level system behaviour (CPU, memory, I/O)
• Experience with benchmarking and analysing complex, distributed systems
• Familiarity with Linux-based development environments and tools
• Strong problem-solving and communication skills

Preferred Qualifications

• Knowledge of ML frameworks like PyTorch
• Experience with GPU-accelerated environments (CUDA, ROCm)
• Familiarity with high-speed networking (RoCE, RDMA)
• Experience with distributed computing frameworks
• Experience building dashboards (Grafana, Prometheus)
• Exposure to performance regression tracking and CI pipelines

Benefits

• Competitive salary
• Annual leave policy
• Medical and dental health plans
• Gym card
• Employee pension (matched up to 4%)